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Mathletics is a remarkably entertaining book that shows readers how to use simple mathematics to analyze a range of statistical and probability-related questions in professional baseball, basketball, and football, and in sports gambling. How does professional baseball evaluate hitters? Is a singles hitter like Wade Boggs more valuable than a power hitter like David Ortiz? Should NFL teams pass or run more often on first downs? Could professional basketball have used statistics to expose the crooked referee Tim Donaghy? Does money buy performance in professional sports? In Mathletics, Wayne Winston describes the mathematical methods that top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical tools they need to enhance their understanding and enjoyment of their favorite sports--and maybe even gain the outside edge to winning bets. Mathletics blends fun math problems with sports stories of actual games, teams, and players, along with personal anecdotes from Winston's work as a sports consultant. Winston uses easy-to-read tables and illustrations to illuminate the techniques and ideas he presents, and all the necessary math concepts--such as arithmetic, basic statistics and probability, and Monte Carlo simulations--are fully explained in the examples. After reading Mathletics, you will understand why baseball teams should almost never bunt, why football overtime systems are unfair, why points, rebounds, and assists aren't enough to determine who's the NBA's best player--and much, much more. In a new epilogue, Winston discusses the stats and numerical analysis behind some recent sporting events, such as how the Dallas Mavericks used analytics to become the 2011 NBA champions.
The Most Useful Techniques for Analyzing Sports Data One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analysis. Requiring familiarity with mathematics but no previous background in statistics, the book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter.
Shmanske and Kahane have organized over 50 essays from prominent Sports Economists into two volumes around two related themes. This second volume explains how sports helps economics via quality data used to test a variety of economic theories.
An in-depth look at the intersection of judgment and statistics in baseball Scouting and scoring are considered fundamentally different ways of ascertaining value in baseball. Scouting seems to rely on experience and intuition, scoring on performance metrics and statistics. In Scouting and Scoring, Christopher Phillips rejects these simplistic divisions. He shows how both scouts and scorers rely on numbers, bureaucracy, trust, and human labor in order to make sound judgments about the value of baseball players. Tracing baseball’s story from the nineteenth century to today, Phillips explains that the sport was one of the earliest and most consequential fields for the introduction of numerical analysis. New technologies and methods of data collection were supposed to enable teams to quantify the drafting and managing of players—replacing scouting with scoring. But that’s not how things turned out. Over the decades, scouting and scoring started looking increasingly similar. Scouts expressed their judgments in highly formulaic ways, using numerical grades and scientific instruments to evaluate players. Scorers drew on moral judgments, depended on human labor to maintain and correct data, and designed bureaucratic systems to make statistics appear reliable. From the invention of official scorers and Statcast to the creation of the Major League Scouting Bureau, the history of baseball reveals the inextricable connections between human expertise and data science. A unique consideration of the role of quantitative measurement and human judgment, Scouting and Scoring provides an entirely fresh understanding of baseball by showing what the sport reveals about reliable knowledge in the modern world.